ASDI uses common, conceptual business models to automate traditional data integration tasks, eliminating the need for hand-coding and direct data exchanges between teams. By automating the process of creating extract-transform-load (ETL) jobs that run on popular ETL engines, enterprises are assured that their data integration projects are completed with a high level of quality and accuracy.
ASDI enables business analysts to map source and target systems to the common, conceptual model via an easy-to-use, familiar spreadsheet interface. Systems are only ever mapped once, rather than once per project. ASDI then automatically generates extract, transform and load (ETL) jobs that run on popular ETL engines such as
With ASDI, business analysts can control the setup, design and configuration of the ETL jobs as well as track data lineage and view dashboards showing project, data source, schema, model, and governance information. ASDI also improves redundancy by allowing enterprises to use multiple ETL vendors.
"As the volume of business data continues to explode, companies are seeking ways to accelerate the process of integrating data during acquisitions, new customer and product onboarding, regulatory compliance responses and more," said
"Any business operation that involves migrating data from one or more organization, database or system to another can benefit from reducing the complexities of the process with Anzo Smart Data Integration," Prasad said. "We're already seeing high levels of interest by industry-leading organizations to join our beta program." About Cambridge SemanticsCambridge Semantics provides the award-winning Anzo software suite, an open platform for building interactive
Cambridge Semantics is privately held and based in
Keywords for this news article include: Software, Cambridge Semantics, Information Technology, Information and Data Migration.
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